2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)最新文献_第4页

OCR Optimization Setting on Industry System PT. Petrokimia Gresik Considering Inrush Current Using Adaptive Modified Firefly Algorithm 工业系统PT的OCR优化设置。考虑涌流的自适应改进萤火虫算法

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221039

Mar’Atus Shalikhah Nur Fitri, M. Pujiantara, V. Lystianingrum

{"title":"OCR Optimization Setting on Industry System PT. Petrokimia Gresik Considering Inrush Current Using Adaptive Modified Firefly Algorithm","authors":"Mar’Atus Shalikhah Nur Fitri, M. Pujiantara, V. Lystianingrum","doi":"10.1109/ISITIA59021.2023.10221039","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221039","url":null,"abstract":"In the industry, frequent load changes make the potential for short-circuit disturbances considerably. Therefore, an effective protection coordination system is required to secure the industrial equipment. A protective system must properly and securely reduce disturbances to avoid unexpected effects such as more severe equipment failures, power outages, and human safety risks. Protection coordination that integrates with another is necessary to create a more reliable protection system. The best protection has a structure that works quickly to secure disturbances so that they do not spread to other networks and has excellent coordination for identifying the types of disturbances. The leading benchmark for setting protection relays is TDS. The TDS (Time Dial Setting) parameter must be filled in while coordinating protection, especially in the overcurrent relay. TDS controls how long the relay operates for resolving a fault. The TDS value is typically calculated and analyzed to get the minimum TDS value. Despite this, considering the inrush current transformer. However, PT Petrokimia Gresik electricity system demonstrates the trial-and-error method of changing the curve until the CTI is used to obtain the correct TDS value in collaboration with other relays. An algorithm can be used to simplify and provide accurate TDS results. This final project will discuss calculating the TDS inverse time overcurrent relay with the Adaptive Modified Firefly Algorithm (AMFA) method on the electricity system at PT Petrokimia Gresik to get the minimum TDS value. This study used 2 typical with a radial system, and its network contains 3 transformers. If a disturbance occurs, this authorizes an inrush current to flow. Consequently, it is evaluated. The results of the study obtained the relay TDS value using the AMFA algorithm to get the optimum value below the specified maximum limit, considering inrush current.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114672974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Depthwise Over-Parameterized CNN for Voxel Human Pose Classification 体素人体姿态分类的深度过度参数化CNN

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221054

O. V. Putra, Riandini, E. M. Yuniarno, M. Purnomo

引用次数: 0

Design of Data Transfer Efficiency on Smart Street Light Based on Long Range Wide Area Network Protocol 基于远程广域网协议的智能路灯数据传输效率设计

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221064

R. W. Sholikah, Muhammad Hilmi Ramadhan, Ridho Rahman Hariadi, Hatma Suryotrisongko, H. T. Ciptaningtyas

{"title":"Design of Data Transfer Efficiency on Smart Street Light Based on Long Range Wide Area Network Protocol","authors":"R. W. Sholikah, Muhammad Hilmi Ramadhan, Ridho Rahman Hariadi, Hatma Suryotrisongko, H. T. Ciptaningtyas","doi":"10.1109/ISITIA59021.2023.10221064","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221064","url":null,"abstract":"IoT (Internet of Things) in smart street lights widely uses Hypertext Transfer Protocol (HTTP) as data exchange between sensors and actuators. This protocol has a weakness in the data exchange mechanism that requires the highest energy usage, reducing the device's service life. Long Range Wide Area Network Protocol (LoRaWAN) offers a more efficient data transfer mechanism for wide area coverage, end-to-end security, and two-way communication. Implementing LoRaWAN in smart street lights can save energy consumption and speed up response time. In this research, we design a prototype for data transfer efficiency in smart street lights using LoRaWAN protocol to perform remote monitoring and control. The system will display the energy usage monitoring of smart street lights and has functionality for turning on/ off the light. The experiment also conducts the response time performance using JMeter. The test results show that the proposed system has better quality data transmission 6.3 times or 8.07 dB at a distance of 1,220 meters, and the success ratio is 100%. The response time reaches 48 ms with 100 users.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121940401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Epilepsy Detection using Combination DWT and Convolutional Neural Networks Based on Electroencephalogram 基于脑电图的结合DWT和卷积神经网络的癫痫检测

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221031

Dwi Sunaryono, J. Siswantoro, R. Sarno, Rahardian Indarto Susilo, S. Sabilla

{"title":"Epilepsy Detection using Combination DWT and Convolutional Neural Networks Based on Electroencephalogram","authors":"Dwi Sunaryono, J. Siswantoro, R. Sarno, Rahardian Indarto Susilo, S. Sabilla","doi":"10.1109/ISITIA59021.2023.10221031","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221031","url":null,"abstract":"At the present day, smart technology has made life simpler for people in all spheres of life, including medical. It is necessary to have technology that can identify diseases or physical defects in humans since this will influence the course of therapy. One of the cutting-edge technologies used to identify epilepsy is the electroencephalogram (EEG). The signal was obtained by observed brain’s electrical activity for a period of time to get these signals. Medical professionals need to be very accurate and confident in their ability to categorize EEG patterns in order to diagnose epilepsy. This study suggested using Zero Crossing Frequency and Mean Crossing Frequency features extracted from transformed singnal using Discrete Wavelet Transform. EEG signals were classified into three categories: ictal, pre-ictal, and normal using Convolutional Neural Network. According to the study’s findings, the suggested approach can accurately categorize three categories with a confidence interval (CI) of 0.0013 and an accuracy of 98.09%.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128523964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomass Pre-Treatment Site Suitability Assessment using GIS – MCDA Method in Pandeglang, Indonesia 基于GIS - MCDA方法的印尼pangdeglang生物质预处理场地适宜性评价

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221061

A. Burhani, R. Wahyuono

引用次数: 0

Detection of Pulmonary Tuberculosis Using Neural Network with Feature Extraction of Gray Level Run-Length Matrix Method on Lung X-Ray Images 基于灰度游程矩阵特征提取的神经网络肺部x射线图像肺结核检测

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221153

Togi SiholMarito Simarmata, R. Isnanto, A. Triwiyatno

{"title":"Detection of Pulmonary Tuberculosis Using Neural Network with Feature Extraction of Gray Level Run-Length Matrix Method on Lung X-Ray Images","authors":"Togi SiholMarito Simarmata, R. Isnanto, A. Triwiyatno","doi":"10.1109/ISITIA59021.2023.10221153","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221153","url":null,"abstract":"Tuberculosis is a disease caused by Mycobacterium tuberculosis, which attacks the respiratory system. The purpose of the research is to detect bacteria on chest X-ray images. The x-ray images will be processed in the four stages used in this study i.e. pre-processing, segmentation, feature extraction using GLRLM (Gray Level Run Length Matrix) and detection methods using an artificial neural network. The accuracy rate for detecting tuberculosis in this research is 98.8%, with normal lungs at 97.5% and tuberculosis lungs at 100%. The input images in this study were X-ray images of the lungs in patients with positive tuberculosis and normal conditions obtained from Kaggle. The images used are 2099 images which are divided into 2019 training images, 334 tuberculosis training images, and 165 normal training images. The testing is 80 images, which consist of 40 tuberculosis images and 40 normal images. Based on the results of percentage accuracy, it can be said that the system created is very good for detecting tuberculosis using the GLRLM feature extraction method and Artificial Neural Network.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"6 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130473379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Simulation of Environment Indoor Air Quality Monitoring and Controlling System using IoT Technology 基于物联网技术的环境室内空气质量监测与控制系统设计与仿真

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221098

Brainvendra Widi Dionova, Dwiana Hendrawati, Mohammed N. Abdulrazaq, Devan Junesco Vresdian, A. A. Hapsari, M. I. Abdullah, Legenda Prameswono Pratama

{"title":"Design and Simulation of Environment Indoor Air Quality Monitoring and Controlling System using IoT Technology","authors":"Brainvendra Widi Dionova, Dwiana Hendrawati, Mohammed N. Abdulrazaq, Devan Junesco Vresdian, A. A. Hapsari, M. I. Abdullah, Legenda Prameswono Pratama","doi":"10.1109/ISITIA59021.2023.10221098","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221098","url":null,"abstract":"Environment indoor quality (EIQ) is a multifaceted problem encompassing a broad range and fluctuation of contaminants that pose risks to human health, satisfaction, welfare, and efficiency, particularly in relation to environment indoor air quality (EIAQ). The presence of indoor air pollutants (IAP) in the environment significantly influences the decline in the quality of human life, owing to the hazards associated with indoor air pollution and discomfort-causing pollutants affecting thermal comfort. This research features a proposed EIAQ monitoring and controlling system based on the environment indoor air quality index (EIAQI) for detecting, identifying, assessing, and controlling air pollutants. Further, it monitors the concentration of the gases and calculate the toxicity level of the environment status index. It also provides the output control system such as ventilation system and alert system to mitigate the air pollutants based on EIAQI automatically. The EIAQ system integrated with IoT technology to provide a monitoring application the entire air pollutant and EIAQI. As a result, the use of the indoor air quality (IAQ) system becomes a suitable method for identifying, categorizing, assessing, offering guidance, and implementing preventive measures to enhance the quality of the environment.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126191884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Analysis of Underground Mines Visible Light Communication in Various Modulation 矿井可见光通信在不同调制下的性能分析

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221094

Yasyfa Rifiani Putri, Endika Satrio Wibowo, D. Arseno, Brian Pamukti

{"title":"Performance Analysis of Underground Mines Visible Light Communication in Various Modulation","authors":"Yasyfa Rifiani Putri, Endika Satrio Wibowo, D. Arseno, Brian Pamukti","doi":"10.1109/ISITIA59021.2023.10221094","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221094","url":null,"abstract":"This study examined the performance of visible light communication (VLC) in underground mines using LOS and NLOS channel models and various modulations, including OOK-RZ, OOK-NRZ, 8-PPM, and 8-PAM. Based on the simulation results, the SNR value in the NLOS channel model is 9.194 dB, while in the LOS channel, it is about 21.169 dB at a distance of 8.52 meters. For each modulation, the BER simulation gave different values. BER 8-PPM, OOK-RZ, and OOK-NRZ provided good results for the LOS channel model at a distance of 8.52 meters, with values below threshold. Meanwhile, 8-PAM had a maximum distance of 7.06 meters. For the NLOS channel model, only 8-PPM could reach a maximum distance of 8.52 meters. OOK-RZ could reach the maximum distance at 8.03 meters. OOK-NRZ could reach the maximum distance at 7.06 meters. 8-PAM had the highest BER value at a maximum distance of 5.22 meters. Based on this research, the use of an 8-PPM modulation scheme could improve the transmission efficiency of VLC in an underground mining environment. The results of this study can help in improving the development of reliable VLC systems for underground mines.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126555942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Human Body Orientation based on Voxel Using 3D Convolutional Neural Network 基于体素的三维卷积神经网络人体方向预测

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221066

Moch I. Riansyah, T. A. Sardjono, E. M. Yuniarno, M. Purnomo

{"title":"Prediction of Human Body Orientation based on Voxel Using 3D Convolutional Neural Network","authors":"Moch I. Riansyah, T. A. Sardjono, E. M. Yuniarno, M. Purnomo","doi":"10.1109/ISITIA59021.2023.10221066","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221066","url":null,"abstract":"Robot interaction with humans requires intelligent robots that can understand human activities. The development of advanced 3D LiDAR sensors has greatly contributed to this capability. In this study, we specifically focus on the use of 3D LiDAR sensors to predict the orientation of the human body using 3D Convolutional Neural Networks (CNNs) based on voxelized datasets. The dataset used in this study was created using a 3D LiDAR sensor with 32-channel specifications. We divided the dataset into four categories representing different walking orientations. The goal was to explore the performance of four different 3D CNN architectures using independently generated datasets. Based on the experimental results and performance analysis, it was found that VGG16 outperformed the other three architectures in predicting body orientation. VGG16 achieved an accuracy of 0.95, which was higher than DenseNet121 with approximately 0.91, ResNet50V2 with 0.80, and ResNet50 with 0.73. In the future, this method will be developed with additional orientation and results of architectural testing so that it can be modified to be better for further research on understanding human activity by robots.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127841191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Marker-based Detection and Pose Estimation of Custom Pallet using Camera and Laser Rangefinder 基于标记的自定义托盘相机和激光测距检测和姿态估计

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221123

Muhammad Fijar Aswad, P. Rusmin, R. N. Fatimah

{"title":"Marker-based Detection and Pose Estimation of Custom Pallet using Camera and Laser Rangefinder","authors":"Muhammad Fijar Aswad, P. Rusmin, R. N. Fatimah","doi":"10.1109/ISITIA59021.2023.10221123","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221123","url":null,"abstract":"This paper presents an innovative approach to detect and estimate the pose of pallets in a warehouse environment using a combination of ArUco fiducial markers and a laser rangefinder sensor. ArUco markers are unique patterns placed on pallets to assist the detection process. Computer vision algorithms process the camera’s information to estimate the pallet’s position and orientation. Adding the laser rangefinder sensor enhances the accuracy of the distance estimation. Experiments and evaluations were conducted to examine the accuracy and reliability of the proposed system, showing highly accurate and reliable results. The study showed that the combined approach outperformed using ArUco or laser rangefinder separately. The distance measurement had an error rate below 1 percent and 0.82cm for the standard deviation. The orientation measurement had an average error of 1.21 degrees. Consequently, the combination method offers excellent accuracy and precision for distance and orientation measurements. The proposed method could be a solution for implementing an autonomous forklift to increase efficiency and productivity while reducing human error in the warehouse system.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"407 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133322736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0